The Impact of Disclosing Personalized Depression Risk Information on High-risk Individuals' Outcomes
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 712
- 试验地点
- 4
- 主要终点
- Change in psychological distress
研究概览
简要总结
Major depressive episode (MDE) is one of the most prevalent and disabling form of mental illness in the general population. Despite increased mental health services and antidepressants use in the past 10 years, there has been no measurable change in the prevalence of MDE in the Canadian general population, which motivates the search for additional strategies for reducing the burden of MDE. One strategy that has been successful in the fields of oncology, cardiology and diabetes is early identification and prevention - identifying people who are at high risk and taking preventive actions to lower the risk so as to prevent symptoms from progressing into a MDE. As multivariable risk prediction algorithms are used to estimate an individual's risk (probability) of future disease, they can play an important role in the process of early identification. The proposed study stems from a project funded by an operating grant from the Canadian Institutes of Health Research (CIHR). With the CIHR support, the team developed and validated sex-specific prediction algorithms for MDE. As risk prediction is at very early stage in psychiatry and MDE is still highly stigmatized, to facilitate the future implementation of the developed risk prediction algorithms, the proposed study seeks to answer the following research questions: (1) Does disclosure of personalized depression risk information promote high-risk individuals to take preventive actions? (2) Will disclosure of personalized depression risk information negatively affect high-risk people's mental health status in terms of increased psychological distress? To answer the questions, the investigators planned to conduct a randomized controlled trial (RCT) with an embedded qualitative component. The proposed study will develop an evidence base for guiding the disclosure of personalized risk information and understanding the process of risk communication and consumer empowerment, contributing to the advancement of early prevention of MDE in Canada.
详细描述
Rationale: The proposed study stems from a CIHR project and is driven by the results of knowledge translation (KT) activities. The investigators developed the first sex-specific risk prediction models for major depressive episode (MDE) using data from over 10,000 Canadians. The models include age, personal and family history of MDE, childhood trauma, and predictors that may change over time. Using the models, individuals can answer the question: what is my risk of having a MDE in the next 4 years? Knowing this personalized risk information may assist health professionals in communicating with patients and planning preventive actions; disclosing the information may also empower consumers to actively engage in self-help. In the past 5 years, the KT activities with over 500 stakeholders informed that the investigators need to clearly delineate the benefits (enhanced risk perceptions and self-help) and potential risk (increased psychological distress and impaired function) of disclosing the information before implementing the tools.
The goal of this study is to produce evidence about the benefits and potential risks associated with risk disclosure (i.e., the expected outputs). The primary objectives are to compare those who do and do not receive personalized depression risk information in (1) accuracy of risk perceptions, the use of self-help strategies, and (2) changes in psychological distress and functional measures over one year among those who are at high risk of MDE. The secondary objective is to examine the differential impacts of the disclosure on the outcomes by demographics and levels of baseline risk. To achieve these objectives, the investigators propose a 3-year randomized controlled trial (RCT) with an embedded qualitative component.
The proposed study will be a RCT with an embedded qualitative component. The RCT will have one interventional arm (receiving personalized depression risk information) and one control arm. The personalized depression risk will be generated using the sex-specific prediction algorithms for MDE that we developed in Canadians aged 18+ years old. Because the prediction algorithms are sex-specific, the investigators propose to recruit 350 men and 350 women at baseline. After baseline assessment for eligibility, participants will be randomized into intervention and control groups, in men and women separately. To obtain in-depth information about how the personalized depression risk information is processed by participants and how the information affects them emotionally, the research team will conduct qualitative interviews 1 month after the personalized risk information is disclosed. To understand how the personalized risk information affect participants' health behaviors, the investigators will conduct another round of qualitative interviews at 12-month.
Recruitment: The target population of future preventive studies are high risk individuals in the general population, who reside in different regions across the country. For the proposed study, a feasible approach for recruiting eligible participants is the random digit dialing method (RDD). In the past 10 years, we have used the RDD for recruitment in CIHR-funded longitudinal studies and an ongoing national RCT funded by the Movember Foundation. Recruitment, screening and baseline assessment will be done by a telephone interview firm identified through a competitive bidding process.
A random sample of land line and cell phone numbers will be selected. When a household is reached, the person who is 18+ years will be assessed for eligibility. If a household has 2+ persons aged 18+ years, one will be randomly selected. The interviewers will explain the study objectives and procedures and answer questions. Potential participants will be ensured about confidentiality, that participation is voluntary and that they may withdraw at any time. Oral consent will be obtained before assessment of eligibility. Outcome measures will be assessed at baseline, 6 and 12-month.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- Triple (Participant, Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •did not have a MDE at baseline,
- •aged 18+ years old,
- •at high risk of MDE based on the algorithms (predicted risk of 6.5%+ for men and of 11.2%+ for women),
- •agreement to be contacted for follow-up assessments, and
- •no language barriers to English or French.
排除标准
- 未提供
研究组 & 干预措施
Control
Serves as a control group, receiving generic information about depression and self-help.
Intervention
Serves as an intervention group, receiving personalized depression risk information determined by the sex-specific risk calculators, and generic information about depression and self-help.
干预措施: personalized depression risk information (Other)
结局指标
主要结局
Change in psychological distress
时间窗: baseline, 6-month, 12-month
Psychological distress will be measured by the Non-Specific Psychological Distress (K10), a 10-item screening scale intended to yield a global measure of distress based on questions about anxiety and depressive symptoms that a person has experienced in the most recent 4 week period.
次要结局
- Change in self-management strategy use(Baseline, 6-month, 12-month)
- Accuracy of risk perception(baseline, 6- and 12-month follow-up assessment)
研究者
JianLi Wang
Professor
University of Calgary
